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jccsss — Joint Centre for Computer Systems & Software Studies

Computer Science • Data & AI

Lecturer and researcher focusing on dependable systems, data-driven decision making, and AI applications for education and public services.

Contact Publications

At a glance

  • Interests: Computer Science, ML/AI, Data Analytics, Distributed Systems
  • Affiliation: Imo State University, Owerri — Computer Science
  • Service: Curriculum development, research mentoring, outreach for girls in tech

About

Dr. Precious Okonkwo is a lecturer in the Department of Computer Science at Imo State University (IMSU), where she teaches core Computer Science modules including databases, programming, and machine learning. Her work explores how reliable systems and data methods can improve outcomes in education, health, and civic services.

This page is an official profile under the jccsss brand, serving as a reference hub for teaching materials, research updates, and collaboration requests.

Focus Areas

Algorithms & Data Structures Machine Learning Data Science Systems Design Cloud & Distributed ICT for Education

Research Themes

  • Dependable Systems: design patterns and testing for reliability in resource-constrained environments.
  • Data-Driven Systems: predictive analytics for student success and public service delivery.
  • AI for Learning: adaptive feedback systems and assessment tooling.
  • Security & Privacy: practical methods for safeguarding data within campus networks.

Labs & Projects

  • EduInsight: ML models for early identification of at-risk students.
  • ClinicLite: lightweight EMR components optimized for low-bandwidth clinics.
  • OpenCampus Cloud: containerized tools for teaching and research.

Prospective collaborators and students are welcome—see Supervision.

Selected Publications

Selected publications by year
YearCitation
2023Okonkwo, P. Predictive Models for Academic Performance using ML. Journal of Computer Science Studies 8(2), 45–59.
2022Okonkwo, P. Hybrid Cryptographic Techniques for Secure Distributed Systems. IMSU Research Bulletin.
2021Okonkwo, P., Eze, A. Optimizing Cloud-Based Learning Systems for Developing Institutions. International Journal of ICT Education 5(1), 11–26.

Full list available on request. DOIs/links can be added where applicable.

Courses (Current)

  • COS 301 — Algorithms & Complexity
  • COS 205 — Object-Oriented Programming (Java/Python)
  • COS 307 — Database Systems

Courses (Previous)

  • COS 411 — Machine Learning Applications
  • COS 208 — Data Structures & Algorithms
  • COS 106 — Introduction to Computing

Student Supervision

Available for BSc and MSc projects in Computer Science, ML, and data analytics.

  • Capstone: Mobile EMR prototype for community clinics (First Class, 2023)
  • MSc: Drop-out risk prediction using ensemble methods (Ongoing)

Prospective students should email a one-page proposal with goals, dataset (if any), and timeline.

Office & Hours

Faculty of Physical Sciences, Room 214, Imo State University, Owerri.

  • Tue & Thu: 12:00–14:00
  • Or by appointment via email

News & Updates

  • — Workshop accepted: “Reliable ML Pipelines for Universities”.
  • — New course materials released for COS 301.

Contact

Email: precious@jccsss.com

For supervision and collaboration enquiries, please reach out via email.